1. ELEC 300R Robot Design and Competition Zexiang Li (eezxli@ust.hk, X7051, Rm 2453)eezxli@ust.hk Lecture : Tue 18:30-20:20, Rm 2463 Lab : Thu 18:30-20:20, Rm 4418 Department of ECE, HKUST

2. Analytic Skills Life Skills Hands-on Skills a) 灵活应用数学、科学及工程知识的能力； 分析和解释数据的能力 b) 设计、操作实验以及 c) 实用系统设计能力 e) 认识、提出及 解决问题的能力 d) 团队合作能力； i) 终身学习能力； g) 有效的沟通与表达能力 f) 明白职业规范， 具有良好职业道德 j) 具备全面现代社会知识 k) 能有效地使用现代 工程技术、工具与方法 h)& 研究生 / 博士生 相关企业工程师 项目 / 企业管理者 创业者 其他 1. Background

3. a.Ability to apply knowledge of mathematics, science, and engineering b.Ability to design and conduct experiments as well as analyze and interpret data c.Ability to design a system to meet desired needs d.Ability to function on multidisciplinary teams e.Ability to identify, formulate, and solve engineering problems f.Understanding of professional and ethical responsibility g.Ability to communicate effectively h.Broad education necessary to understand impact of engineering solutions in a global/societal context i.Recognition of the need for and ability to engage in lifelong learning j.Knowledge of contemporary issues k.Ability to use the techniques, skills, and modern engineering tools necessary for engineering Abet 2000 Program Objectives: Math I Physics I Chemistry I Others Year 0 Year 1 Math 100/113 Elec 151, 190 Comp 104/109 Others ECE Curriculum: Math II Physics II Chemistry II Others Math 150 Elec 102,152 Comp 171 Others Year 2 Elec 202, 211 Others Elec 214, 254 Elec 397 Others Year 3 Elec 398 Others Elec 399 Others

4. Problems : 1. Knowledge integration comes too late 2. Relies solely on the classical method of learning Effective Pedagogy -- Comparative learning -- Project based learning -- Research method (or early research experience) -- Laboratory experience -- Independent learning -- Interdisciplinary learning -- Common Themes 3. Harvard study Solution : MIT: 6-270 ( 4 credits, during IAP, 150 students/50 teams, http://web.mit.edu/6.270) Rice: Elec 201 (4 credits, offered once per year, with 50% Acceptance ratio, www.owlnet.rice.edu/~elec201/, )www.owlnet.rice.edu/~elec201/ CMU : Engineering 101 ( 5 credits, required for all eng. majors) Eng 395X : Robocon project design course for year 1 to 3 students Elec 300R (or Eng 101) : Robot design and competition for year 1/0 students After this course :

5. http://www-education.rec.ri.cmu.edu/content/vex/vex.htm# Engineering 101 Engineering process Scheduling （ Time Management ） Team Work Team Building First Team Meeting Robotics Team There is no winner in a losing team. There is no loser in a winning team. Group Matrix Daily Log Competition Schedule Planning Organizer Master Schedule Using GANTT Charts Using PERT Charts Concept & Intuition How are signals sent? How much current will my robot draw? How much will a motor lift?

6. Course Targets: Year 1 (or 0) students who are considering an eng. major but who want more information on the principles of engineering design and professions; Non-engineering majors who want to experience and understand the design process that creates the technology that permeates today’s economy, society and political decisions. Course Description: The study of robotics requires students to integrate control, mechanics, electronics, programming and fundamental math and science. Robotics may be the premier integrator of academics and workplace competencies available to education today. In this course, students will discover how engineering process, mathematics, science and interpersonal skills all play significant roles when solving robotic problems. Terms of three students will design, construct and program an autonomous robot to engage in a competition at the end of the semester. The robot is assembled from Vex building blocks, electro-mechanical components, sensors and a microprocessor. It must be able to navigate around the playing surface, and successfully interact with game objects, including the opposing robot, all without human intervention. The engineering challenge for each team is to devise a game strategy, and to design and build the mechanics and software to implement their strategy within the rules of the game and the available materials. During the process, the participants are exposed to issues that confront every practicing engineer, such as working within constraints, using available technology, design tradeoffs, iterative design, team dynamics, and meeting project specifications, milestones, and time constraints.

7. Course Objectives: Identify, formulate solutions for, and solve engineering technology problems using engineering design processes Apply knowledge of mathematics, science, and technology to solve robotic engineering technology problems Apply techniques, skills, and technology to solve robotic engineering technology problem Function on multi-disciplinary teams Communicate effectively using all forms of communication Recognize the need for, and demonstrate the ability to engage in life-long learning Describe various methods used to manage and schedule projects Participate in and/or conduct design reviews Collect, analyze and interpret data Course Plans: Phase I (2 wks): Course organization; Safety; Teamwork; Project management; Introduction to engineering; Engineering process; Introduction to the Vex systems-hardware Phase II (5 wks): Testing, evaluation and understanding the Vex system; Signal flows, motors, gearboxes, control, sensor Feedbacks and programming; Miniprojects on: Meaningful encounter with a wall; Basic navigation; Tracking; Beat the brick; and Programming complete. Phase III (6 wks): Preparation and design for the competition; Brainstorming; Preliminary design; Design review; Testing and redesign; Qualification and Finals. Phase IV (2wks): Wrap-up; project summary, documentation, final report and group evaluation; Packaging and return all parts and tools. Course Grading: Team performance (Reports + team performance + …) Individual performance (Team citizenship + Contribution + Design notebk)

8. Identify and Define the Problem Brainstorm Propose Solutions Prepare for Design Review Receive Feedback Choose a Solution Develop Prototypes Design Working Model Test Model Test Prototypes Make Improvements Based on Feedback Define the Problem Identify the Problem Engineering Process

9. Develop Ideas (IDEATION) Brainstorm Propose Solutions Prepare for Design Review Receive Feedback Choose a Solution Develop Prototypes Design Working Model Test Model Test Prototypes Make Improvements Based on Feedback Define the Problem Identify the Problem Develop Ideas Engineering Process

10. Refine the Design (REFINEMENT) Brainstorm Propose Solutions Prepare for Design Review Receive Feedback Choose a Solution Develop Prototypes Design Working Model Test Model Test Prototypes Make Improvements Based on Feedback Define the Problem Identify the Problem Develop Ideas Refine the Design Engineering Process

11. (IMPLEMENTATION) Develop the Solution Brainstorm Propose Solutions Prepare for Design Review Receive Feedback Choose a Solution Develop Prototypes Design Working Model Test Model Test Prototypes Make Improvements Based on Feedback Define the Problem Identify the Problem Develop Ideas Refine the Design Analyze the Solution Engineering Process

12. Test! ( REFINEMENT ) Brainstorm Propose Solutions Prepare for Design Review Receive Feedback Choose a Solution Develop Prototypes Design Working Model Test Model Test Prototypes Make Improvements Based on Feedback Define the Problem Identify the Problem Develop Ideas Refine the Design Analyze the Solution Test, Test, Test Engineering Process

13. Test! ( REFINEMENT ) Brainstorm Propose Solutions Prepare for Design Review Receive Feedback Choose a Solution Develop Prototypes Design Working Model Test Model Test Prototypes Make Improvements Based on Feedback Define the Problem Identify the Problem Develop Ideas Refine the Design Analyze the Solution Test, Test, Test Engineering Process

14. Engineering is an iterative process Iteration is the repetition of a process. It is the action or process of repeating. It is a procedure in which repetition of a sequence of operations yields results successively closer to a desired result. ProblemEngineeringSolution Feedback Innovation

15. Engineering – continual improvement ProblemEngineeringSolution Feedback Innovation When the development cycle is complete successful companies complete market studies and look for ways to improve their products.

16. Engineering is: The practical application of applying math and science to solve problems. Innovation – a creation resulting from study and experimentation. A process - a particular course of action intended to achieve a result. Iterative - the process of making gradual improvements until the best solution is achieved. Continual improvement. Back